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A 2007 study reported in science magazine stated that fifth-grade teachers scored a mean of 3.4 (out of 7) points for "providing evaluative feedback to students on their work." Assume that the sample size was 36 and the sample standard deviation was 1.5.a. Find t (subscript alpha/2) for a confidence interval with 90% confidence.b. Compute and interpret the margin of error "E" for a confidence interval with 90% confidence. c. Construct and interpret a 90% confidence interval for the population mean points scored by fith-grade teachers for providing evaluative feedback.
Suppose that 46 percent of families living in a certain country own a car and 18 percent own an SUV. The Addition Rule might suggest, then, that 64 percent of families own either a car or an SUV. What's wrong with that reasoning.
The following data were obtained from an independent measures research study comparing three treatment conditions. Use an ANOVA with alpha=.05 to determine whether there are any significant mean differences among the treatments.
How many students would you include in a random sample to determine with 95% probability and to within 5% of the true value the proportion who arrive at 9am lectures without breakfast?
In order to estimate the proportion of families who prefer female baby-sitters to male baby-sitters with an error of at most 8 percentage points and with at least 95 percent confidence, how large a sample should be taken?
How much net profit can John expect (on average) to earn from the store in total over the next five years?
A manufacturing process produces items whose weights are basically distributed. It is known that 22.57% of all the items produced, weigh between 100 grams up to the mean and 49.18% weigh from the mean up to 190 grams.
What can you say with 95% confidence about the percent of all American adults who think that humans developed from earlier species of animals.
In 1990, the population of Austin, Texas, was 494,290. During the next 10 years, the population increased by about 3% each year.
For which of given variables must a "two tail" t-test be applied?
The "average" (mean) tire wore out at 41,000 miles, and the standard deviation was 4000 miles. Approximately what percent of the tires are likely to wear out before 40,200 miles?
These employees has been taken by systematic sampling, what is the value of k? The researcher would start the sample selection between what two values?
The calculated chi-square test statistic and the table value for a 0.05 significance level are:
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